Debrup-61/RaDeR

Official Code Repositiry for "RaDeR: Reasoning-aware Dense Retrieval Models" accepted at Main Conference EMNLP 2025

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Experimental

This tool helps researchers and AI developers working with large language models (LLMs) to improve their models' ability to solve complex mathematical problems. It takes mathematical problem data and LLM reasoning steps, then generates specialized training data. The output is a highly effective 'reasoning-aware' retrieval model that can find relevant information to guide LLMs in solving diverse reasoning tasks.

No commits in the last 6 months.

Use this if you need to train LLMs to perform better on mathematical reasoning and similar complex problem-solving tasks by providing more relevant context.

Not ideal if you are looking for a plug-and-play solution for general information retrieval, as this is specifically designed for enhancing LLM mathematical reasoning.

mathematical-reasoning large-language-models AI-research model-training natural-language-processing
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 6 / 25
Maturity 15 / 25
Community 5 / 25

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Stars

16

Forks

1

Language

Python

License

MIT

Last pushed

Jun 23, 2025

Commits (30d)

0

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